Early Career, Computer Science - Software Simulation and Analysis, Onsite

What Your Job Will Be Like

Are you excited about using state‑of‑the‑art technologies while also maintaining and modernizing legacy systems that are critical to national security? Join our dynamic Sandia team, where you'll tackle a mix of innovative and longstanding challenges across the full software stack.

Typical responsibilities (you may work on any of these on a given day):

• Agile development of new software for high‑fidelity modeling, simulation, and machine learning surrogates; leverage networked compute servers or HPC resources as needed.
• Maintain, extend, and refactor legacy codebases (e.g., Fortran, C, legacy C++, MATLAB, or other older languages) to keep existing models operational and performant.
• Translate/modernize older models to newer languages or frameworks (e.g., moving Fortran physics models to Python/C++/GPU-accelerated libraries).
• Collaborate with architects, developers, technical leads, customers, and end‑users to gather requirements, design solutions, and deliver extensible, well‑documented software.
• Contribute to missions that span signal & image processing, physics, analytics, cloud computing, machine learning, modeling & simulation, service‑oriented architectures, microservices, big‑data management, visualization, and pattern recognition.
• Provide model and system level expertise to users, programs, and partners, acting as a trusted technical resource.
• Develop proposals and lead funded efforts for both current challenges and emerging needs.
• Participate in leadership development activities (independent projects, mentorship, cross‑team initiatives).

Due to the nature of the work, the selected applicant must be able to work onsite.

• Impactful work that directly supports national security.
• Opportunities to lead and shape cutting‑edge R&D while preserving essential legacy capabilities.
• A collaborative environment that values continuous learning, innovation, and career growth.

• Challenging work with amazing impact that contributes to security, peace, and freedom worldwide.
• Extraordinary co‑workers.
• Some of the best tools, equipment, and research facilities in the world.
• Career advancement and enrichment opportunities.
• Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten‑hour days each week) compressed workweeks, part‑time work, and telecommuting (a mix of onsite work and working from home).
• Generous vacation, strong medical and other benefits, competitive 401(k), learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance*.

* These benefits vary by job classification.

$102,400 - $199,700

* Salary range is estimated, and actual salary will be determined after consideration of the selected candidate's experience and qualifications, and application of any approved geographic salary differential.

• A Bachelor's degree in a relevant discipline, or an equivalent combination of directly relevant education and engineering or scientific experience that demonstrates the knowledge, skills, and ability to perform independent research and development.
• Ability to obtain and maintain a DOE Q clearance.

• Graduate degree (M.S. or Ph.D.) in Computer Science or a highly related field, with an independent research component (thesis/dissertation).
• Proven software development expertise across the full lifecycle, including modern practices (Agile, CI/CD, version control).
• Experience modernizing legacy code and modernizing scientific models to newer languages or platforms.
• Strong verbal and written communication skills; ability to work effectively in multidisciplinary teams.
• Passion for continual learning and expanding technical skillsets.

• Development Process
  - Full software lifecycle using Agile, Scrum, or Scaled Agile Framework (SAFe).
• Legacy Systems
  - Maintenance, debugging, and migration of code written in Fortran, legacy C/C++, MATLAB, or similar environments.
• Cloud & Containerization - AWS, Azure, Kubernetes, Docker, or comparable cloud‑native platforms.
• Data Processing & Analytics
  -…